评估基线最大自愿收缩协议的可靠性
Gillian E Slade1, Michael W B Watterworth1, Nicholas J La Delfa1
1Health Science (Kinesiology), Ontario Tech University, Oshawa, Ontario, Canada.
PeerJ
|March 2, 2026
概括
计算基线最大自愿同位数收缩 (MVICs) 的最可靠和最有效的方法是使用单个收缩的峰值. 这种方法提供了高可靠性,同时最大限度地减少了参与者的疲劳和测试时间.
科学领域:
- 生物力学 生物力学
- 人体生理学 人体生理学
- 运动科学 运动科学
背景情况:
- 最大自愿同度收缩 (MVICs) 对于使运动强度正常化至关重要.
- 现有的MVIC协议显示出显著的变化,并且缺乏关于可靠性的共识.
- 这种变化会影响研究和临床测量的一致性.
研究的目的:
- 确定最佳的基线MVIC计算方法,以最大限度地提高会话间的可靠性.
- 为了解决在MVIC测量中缺乏标准化的协议的问题.
- 提高强度评估在研究和临床环境中的一致性.
主要方法:
- 十八名参与者完成了四次膝盖延伸,肘部曲和手握MVIC.
- 分析了32种不同的MVIC计算方法,包括不同的收缩数,峰值与平均值,以及熟悉/实践的纳入.
- 使用类内相关系数 (ICC) 评估可靠性,显著性设置为p ≤0.05.
主要成果:
- 日间的ICC范围在0.85到0.99之间,这表明方法的可靠性普遍很高.
- 使用单个收缩的峰值证明了高可靠性和效率.
- 熟悉和实践课程只提高了肘部曲MVIC的可靠性.
结论:
- 计算基线MVIC的多种方法产生了可靠的结果.
- 最有效和最实用的方法是使用单次收缩的峰值值.
- 这种优化的协议平衡了高可靠性,减少了测试时间和参与者负担.
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